{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "125a52f0-45e4-4af2-86df-c372ae34a807",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "模拟订单数据条数： 1000\n",
      "由模拟数据计算得到的汇总表：\n",
      "   区域  2022完成率  2021完成率  未完成占比  辅助\n",
      "0  华东     0.35     0.45   0.65   1\n",
      "1  西北     0.51     0.39   0.49   3\n",
      "2  东北     0.62     0.53   0.38   5\n",
      "3  华北     0.74     0.69   0.26   7\n",
      "4  华南     0.86     0.92   0.14   9\n",
      "\n",
      "目标表：\n",
      "   区域  2022完成率  2021完成率  未完成占比  辅助\n",
      "0  华东     0.35     0.45   0.65   1\n",
      "1  西北     0.51     0.39   0.49   3\n",
      "2  东北     0.62     0.53   0.38   5\n",
      "3  华北     0.74     0.69   0.26   7\n",
      "4  华南     0.86     0.92   0.14   9\n",
      "\n",
      "校验通过：汇总结果与目标表完全一致！\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ===================== 0. 导入库与全局设置 =====================\n",
    "import random\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from faker import Faker\n",
    "\n",
    "# 中文字体（Windows 下一般有这些，任选其一存在即可）\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "fake = Faker('zh_CN')\n",
    "random.seed(42)\n",
    "np.random.seed(42)\n",
    "Faker.seed(42)\n",
    "\n",
    "# ===================== 1. 用 Faker 生成模拟 erp_order 数据 =====================\n",
    "\n",
    "def generate_erp_orders(n_per_region_year: int = 100) -> pd.DataFrame:\n",
    "    \"\"\"\n",
    "    生成 2021 / 2022 的模拟订单数据。\n",
    "    业务逻辑：\n",
    "      - 区域：华东、西北、东北、华北、华南\n",
    "      - 2022 完成率：35%、51%、62%、74%、86%\n",
    "      - 2021 完成率：45%、39%、53%、69%、92%\n",
    "      - 每个 区域-年份 生成 n_per_region_year 条订单，\n",
    "        其中 “refund_status='未申请退款'” 的数量 = 完成率 * n_per_region_year\n",
    "      - 完成率定义：该区域该年的 未申请退款 / 全部订单 数\n",
    "    \"\"\"\n",
    "\n",
    "    regions = ['华东', '西北', '东北', '华北', '华南']\n",
    "\n",
    "    rate_2022 = {\n",
    "        '华东': 0.35,\n",
    "        '西北': 0.51,\n",
    "        '东北': 0.62,\n",
    "        '华北': 0.74,\n",
    "        '华南': 0.86\n",
    "    }\n",
    "\n",
    "    rate_2021 = {\n",
    "        '华东': 0.45,\n",
    "        '西北': 0.39,\n",
    "        '东北': 0.53,\n",
    "        '华北': 0.69,\n",
    "        '华南': 0.92\n",
    "    }\n",
    "\n",
    "    platforms = ['天猫旗舰店', '京东自营', '抖音小店', '线下门店']\n",
    "    stores = ['旗舰店A', '旗舰店B', '直播间C']\n",
    "\n",
    "    rows = []\n",
    "    auto_id = 1\n",
    "\n",
    "    for region in regions:\n",
    "        for year in [2021, 2022]:\n",
    "            if year == 2022:\n",
    "                rate = rate_2022[region]\n",
    "            else:\n",
    "                rate = rate_2021[region]\n",
    "\n",
    "            start_dt = datetime(year, 1, 1, 0, 0, 0)\n",
    "            end_dt   = datetime(year, 6, 30, 23, 59, 59)\n",
    "\n",
    "            total = n_per_region_year\n",
    "            complete_num = int(rate * total)\n",
    "            incomplete_num = total - complete_num\n",
    "\n",
    "            # ------ 生成“完成”的订单：未申请退款 ------\n",
    "            for _ in range(complete_num):\n",
    "                order_time = fake.date_time_between(start_date=start_dt, end_date=end_dt)\n",
    "                payment_date = order_time + timedelta(minutes=random.randint(5, 6 * 60))\n",
    "                shipping_date = payment_date + timedelta(days=random.randint(0, 7))\n",
    "\n",
    "                unit_price = random.randint(80, 300)\n",
    "                quantity = random.randint(1, 3)\n",
    "                product_amount = round(unit_price * quantity, 2)\n",
    "                original_price = round(unit_price + random.randint(10, 100), 2)\n",
    "\n",
    "                row = {\n",
    "                    'id': auto_id,\n",
    "                    'internal_order_number': f'IN{fake.ean13()}',\n",
    "                    'online_order_number': f'ON{fake.ean13()}',\n",
    "                    'store_name': random.choice(stores),\n",
    "                    'full_channel_user_id': fake.uuid4().replace('-', ''),\n",
    "                    'shipping_date': shipping_date,\n",
    "                    'payment_date': payment_date,\n",
    "                    'payable_amount': product_amount,\n",
    "                    'paid_amount': product_amount,\n",
    "                    'status': '已完成',\n",
    "                    'consignee': fake.name(),\n",
    "                    'spu': f'SPU{random.randint(1000, 9999)}',\n",
    "                    'order_time': order_time,\n",
    "                    'province': region,               # 用省份字段承载大区\n",
    "                    'city': fake.city_name(),\n",
    "                    'platform': random.choice(platforms),\n",
    "                    'sub_order_number': f'SUB{fake.ean8()}',\n",
    "                    'online_sub_order_number': f'OSUB{fake.ean8()}',\n",
    "                    'original_online_order_number': f'ORG{fake.ean13()}',\n",
    "                    'sku': f'SKU{random.randint(100000, 999999)}',\n",
    "                    'quantity': quantity,\n",
    "                    'unit_price': unit_price,\n",
    "                    'product_name': fake.word() + \" 商品\",\n",
    "                    'color_and_spec': random.choice(['红色 M', '黑色 L', '白色 S']),\n",
    "                    'product_amount': product_amount,\n",
    "                    'original_price': original_price,\n",
    "                    'is_gift': random.choice(['否', '是']),\n",
    "                    'sub_order_status': '已发货',\n",
    "                    'refund_status': '未申请退款',\n",
    "                    'registered_quantity': quantity,\n",
    "                    'actual_refund_quantity': 0\n",
    "                }\n",
    "                rows.append(row)\n",
    "                auto_id += 1\n",
    "\n",
    "            # ------ 生成“未完成”的订单：非未申请退款 ------\n",
    "            for _ in range(incomplete_num):\n",
    "                order_time = fake.date_time_between(start_date=start_dt, end_date=end_dt)\n",
    "                payment_date = order_time + timedelta(minutes=random.randint(5, 6 * 60))\n",
    "                shipping_date = payment_date + timedelta(days=random.randint(0, 7)) \\\n",
    "                                if random.random() < 0.7 else None\n",
    "\n",
    "                unit_price = random.randint(80, 300)\n",
    "                quantity = random.randint(1, 3)\n",
    "                product_amount = round(unit_price * quantity, 2)\n",
    "                original_price = round(unit_price + random.randint(10, 100), 2)\n",
    "\n",
    "                row = {\n",
    "                    'id': auto_id,\n",
    "                    'internal_order_number': f'IN{fake.ean13()}',\n",
    "                    'online_order_number': f'ON{fake.ean13()}',\n",
    "                    'store_name': random.choice(stores),\n",
    "                    'full_channel_user_id': fake.uuid4().replace('-', ''),\n",
    "                    'shipping_date': shipping_date,\n",
    "                    'payment_date': payment_date,\n",
    "                    'payable_amount': product_amount,\n",
    "                    'paid_amount': product_amount if random.random() < 0.8 else 0,\n",
    "                    'status': random.choice(['退款中', '已关闭']),\n",
    "                    'consignee': fake.name(),\n",
    "                    'spu': f'SPU{random.randint(1000, 9999)}',\n",
    "                    'order_time': order_time,\n",
    "                    'province': region,\n",
    "                    'city': fake.city_name(),\n",
    "                    'platform': random.choice(platforms),\n",
    "                    'sub_order_number': f'SUB{fake.ean8()}',\n",
    "                    'online_sub_order_number': f'OSUB{fake.ean8()}',\n",
    "                    'original_online_order_number': f'ORG{fake.ean13()}',\n",
    "                    'sku': f'SKU{random.randint(100000, 999999)}',\n",
    "                    'quantity': quantity,\n",
    "                    'unit_price': unit_price,\n",
    "                    'product_name': fake.word() + \" 商品\",\n",
    "                    'color_and_spec': random.choice(['红色 M', '黑色 L', '白色 S']),\n",
    "                    'product_amount': product_amount,\n",
    "                    'original_price': original_price,\n",
    "                    'is_gift': random.choice(['否', '是']),\n",
    "                    'sub_order_status': '售后中',\n",
    "                    'refund_status': random.choice(['成功退款', '部分退款', '退款中']),\n",
    "                    'registered_quantity': quantity,\n",
    "                    'actual_refund_quantity': random.randint(0, quantity)\n",
    "                }\n",
    "                rows.append(row)\n",
    "                auto_id += 1\n",
    "\n",
    "    df = pd.DataFrame(rows)\n",
    "    return df\n",
    "\n",
    "\n",
    "# 生成数据：5 个区域 × 2 年 × 100 条 = 1000 条\n",
    "df_erp = generate_erp_orders()\n",
    "print(\"模拟订单数据条数：\", len(df_erp))\n",
    "df_erp.head()\n",
    "# ===================== 2. 计算两年完成率，并与目标表校验 =====================\n",
    "\n",
    "# 增加 year 字段\n",
    "df_erp['year'] = df_erp['order_time'].dt.year\n",
    "\n",
    "# 按 区域 + 年份 聚合，完成率 = 未申请退款 / 总订单数\n",
    "agg = (\n",
    "    df_erp\n",
    "    .assign(is_complete=lambda d: (d['refund_status'] == '未申请退款').astype(int))\n",
    "    .groupby(['province', 'year'], as_index=False)\n",
    "    .agg(\n",
    "        完成订单数=('is_complete', 'sum'),\n",
    "        总订单数=('id', 'count')\n",
    "    )\n",
    ")\n",
    "agg['完成率'] = (agg['完成订单数'] / agg['总订单数']).round(2)\n",
    "\n",
    "# 透视成「区域 × (2021完成率, 2022完成率)」\n",
    "pivot = agg.pivot(index='province', columns='year', values='完成率')\n",
    "pivot.columns.name = None\n",
    "pivot = pivot.reset_index().rename(columns={\n",
    "    'province': '区域',\n",
    "    2021: '2021完成率',\n",
    "    2022: '2022完成率'\n",
    "})\n",
    "\n",
    "# 按指定顺序重排\n",
    "order = ['华东', '西北', '东北', '华北', '华南']\n",
    "pivot = pivot.set_index('区域').loc[order].reset_index()\n",
    "\n",
    "# 这里按照 目标表 的列顺序来构建 summary_calc\n",
    "summary_calc = pivot[['区域', '2022完成率', '2021完成率']].copy()\n",
    "summary_calc['未完成占比'] = (1 - summary_calc['2022完成率']).round(2)\n",
    "summary_calc['辅助'] = [1, 3, 5, 7, 9]\n",
    "\n",
    "print(\"由模拟数据计算得到的汇总表：\")\n",
    "print(summary_calc)\n",
    "\n",
    "# 目标表（与截图完全一致）\n",
    "summary_target = pd.DataFrame({\n",
    "    '区域': ['华东', '西北', '东北', '华北', '华南'],\n",
    "    '2022完成率': [0.35, 0.51, 0.62, 0.74, 0.86],\n",
    "    '2021完成率': [0.45, 0.39, 0.53, 0.69, 0.92],\n",
    "    '未完成占比': [0.65, 0.49, 0.38, 0.26, 0.14],\n",
    "    '辅助': [1, 3, 5, 7, 9]\n",
    "})\n",
    "\n",
    "print(\"\\n目标表：\")\n",
    "print(summary_target)\n",
    "\n",
    "# 校验：如果不完全一致会抛异常\n",
    "pd.testing.assert_frame_equal(\n",
    "    summary_calc.reset_index(drop=True),\n",
    "    summary_target.reset_index(drop=True)\n",
    ")\n",
    "print(\"\\n校验通过：汇总结果与目标表完全一致！\")\n",
    "# ===================== 3. 画图：复刻 Excel「同比去年」双圆点进度条图 =====================\n",
    "\n",
    "# 为画图准备数据：按 2022 完成率从高到低排序（华南、华北、东北、西北、华东）\n",
    "plot_df = summary_target.copy().sort_values('2022完成率', ascending=False).reset_index(drop=True)\n",
    "\n",
    "regions = plot_df['区域'].tolist()\n",
    "rate22 = plot_df['2022完成率'].tolist()\n",
    "rate21 = plot_df['2021完成率'].tolist()\n",
    "\n",
    "n = len(regions)\n",
    "y_pos = np.arange(n)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(11, 6))\n",
    "\n",
    "# 整体背景色\n",
    "fig.patch.set_facecolor('#0f1633')\n",
    "ax.set_facecolor('#0f1633')\n",
    "\n",
    "# 坐标范围\n",
    "ax.set_xlim(0, 1.0)\n",
    "ax.set_ylim(-0.5, n - 0.5)\n",
    "\n",
    "# 背景灰色条（基准线）\n",
    "bar_height = 0.26\n",
    "ax.barh(y_pos, [1.0] * n,\n",
    "        color='#70758a',\n",
    "        height=bar_height,\n",
    "        edgecolor='none',\n",
    "        zorder=1)\n",
    "\n",
    "# 蓝色细条（视觉上的 2022 进度线）\n",
    "ax.barh(y_pos, [1.0] * n,\n",
    "        color='#008fe8',\n",
    "        height=bar_height * 0.45,\n",
    "        edgecolor='none',\n",
    "        zorder=2)\n",
    "\n",
    "# 画 2022 / 2021 的圆点和标签\n",
    "for i, (y, r22, r21) in enumerate(zip(y_pos, rate22, rate21)):\n",
    "    # 2022 蓝色圆点\n",
    "    ax.scatter(r22, y,\n",
    "               s=300,\n",
    "               facecolor='#008fe8',\n",
    "               edgecolor='white',\n",
    "               linewidth=2,\n",
    "               zorder=4)\n",
    "\n",
    "    # 2021 灰色圆点\n",
    "    ax.scatter(r21, y,\n",
    "               s=300,\n",
    "               facecolor='#b5b8c4',\n",
    "               edgecolor='#b5b8c4',\n",
    "               linewidth=1,\n",
    "               zorder=3)\n",
    "\n",
    "    # 2022 百分比文字（在蓝点上方）\n",
    "    ax.text(r22, y + 0.30,\n",
    "            f\"{int(r22 * 100)}%\",\n",
    "            color='white',\n",
    "            fontsize=13,\n",
    "            ha='center',\n",
    "            va='bottom')\n",
    "\n",
    "# 左侧区域名称\n",
    "for y, region in zip(y_pos, regions):\n",
    "    ax.text(-0.03, y,\n",
    "            region,\n",
    "            ha='right',\n",
    "            va='center',\n",
    "            fontsize=14,\n",
    "            color='white')\n",
    "\n",
    "# 去掉坐标轴、刻度和边框\n",
    "for spine in ['top', 'right', 'bottom', 'left']:\n",
    "    ax.spines[spine].set_visible(False)\n",
    "ax.tick_params(left=False, bottom=False, labelbottom=False, labelleft=False)\n",
    "\n",
    "# 调整子图位置：上方留标题，下方留脚注\n",
    "plt.subplots_adjust(left=0.16, right=0.96, top=0.75, bottom=0.16)\n",
    "\n",
    "# 主标题\n",
    "fig.suptitle(\n",
    "    \"2022年上半年销量目标达成率同比去年情况\",\n",
    "    fontsize=26,\n",
    "    color='white',\n",
    "    fontweight='bold',\n",
    "    y=0.93\n",
    ")\n",
    "\n",
    "# 副标题\n",
    "fig.text(\n",
    "    0.16, 0.84,\n",
    "    \"华南完成率最高达到86%，华东最低35%，其中华南和华东不及2021年\",\n",
    "    fontsize=16,\n",
    "    color='white'\n",
    ")\n",
    "\n",
    "# 图例（用两个虚拟点来做 legend）\n",
    "legend_handles = [\n",
    "    plt.Line2D([0], [0], marker='o', linestyle='',\n",
    "               markersize=12, markerfacecolor='#008fe8',\n",
    "               markeredgecolor='white', label='2022完成率'),\n",
    "    plt.Line2D([0], [0], marker='o', linestyle='',\n",
    "               markersize=12, markerfacecolor='#b5b8c4',\n",
    "               markeredgecolor='#b5b8c4', label='2021完成率')\n",
    "]\n",
    "ax.legend(handles=legend_handles,\n",
    "          loc='upper left',\n",
    "          bbox_to_anchor=(0.01, 1.15),\n",
    "          frameon=False,\n",
    "          fontsize=12,\n",
    "          labelcolor='white')\n",
    "\n",
    "# 底部脚注\n",
    "fig.text(\n",
    "    0.05, 0.06,\n",
    "    \"*注：数据来源于公司销售系统，统计日期截至2022.06.30\",\n",
    "    fontsize=11,\n",
    "    color='white'\n",
    ")\n",
    "\n",
    "plt.show()\n"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "00a11e7e-9ec3-47fc-a605-6e961a577155",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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